NVIDIA

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Thursday, 16 July 2026

NVIDIA Nemotron 3 Embed Ranks #1 Overall on RTEB, Advancing Agentic Retrieval

Hugging Face Blog 57 minutes ago

NVIDIA released Nemotron 3 Embed, a collection of three embedding models for retrieval in agentic workflows, with the 8B variant ranking first on the RTEB leaderboard at 78.5% accuracy. The 1B variants achieve 72.4% on RTEB while reducing error rates by 27-28% compared to predecessors, with an NVFP4-optimized version delivering up to 2x higher throughput on Blackwell hardware. Better retrieval quality reduces downstream token costs for agent queries, enabling more efficient multi-step agentic reasoning across enterprises already evaluating the models.

AI Agents AI Model Releases NVIDIA Retrieval & RAG

Sakana AI

Sakana AI is integrating NVIDIA's Nemotron open models into its Fugu multi-agent orchestration system, which coordinates multiple specialized models to handle complex tasks. In early evaluations, the orchestration-based approach has shown strong performance alongside leading frontier systems, demonstrating that model coordination can serve as a scaling path. This collaboration aims to create a feedback loop where open models, orchestration, and real-world use reinforce each other, reducing dependence on single providers and enabling more capable AI systems.

AI Agents AI Model Orchestration NVIDIA Open Source